# CODE BY ZeroToMastery TensorFlow course.
# The function makes a labelled confusion matrix comparing predictions and ground truth labels.
  
# If classes is passed, confusion matrix will be labelled, if not, integer class values
# will be used.

## Args:

`y_true`: Array of truth labels (must be same shape as y_pred).
`y_pred`: Array of predicted labels (must be same shape as y_true).
`classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
`figsize`: Size of output figure (default=(10, 10)).
`text_size`: Size of output figure text (default=15).
`norm`: normalize values or not (default=False).
`savefig`: save confusion matrix to file (default=False).

## Returns: A labelled confusion matrix plot comparing y_true and y_pred.
### Example usage:

"""make_confusion_matrix(y_true=test_labels, # ground truth test labels
                        y_pred=y_preds, # predicted labels
                        classes=class_names, # array of class label names
                        figsize=(15, 15),
                        text_size=10)"""